Lead Engineer Salesforce AI Agentforce
Emerson Electric (Asia) LimitedMandaluyongTayang 7 hari laluTidak dicantumkan
Penuh waktuHybridMin. D4/S1
Lamar di situs perekrut
Tutup 15/12/2026
Diperiksa LangkahKerja 29/10/2026
Deskripsi Pekerjaan
- Define, document, and enforce Emerson AI governance policies and ethical guidelines for Salesforce AI capabilities.
- Review proposed AI toolsets and agent use cases for regulatory, ethical, privacy, security, and business-process readiness.
- Establish practical guardrails for agent design, topic configuration, actions, data grounding, and human oversight.
- Track evolving AI regulations, Salesforce trust guidance, and corporate policies, translating requirements into usable governance practices.
- Create AI risk assessment templates, model/use-case review checkpoints, exception processes, and remediation procedures for Salesforce AI deployments.
Syarat
Ditulis lengkap seperti di sumbernya.
- Knowledge of Salesforce Agentforce concepts, including agent design, topics, actions, instructions, guardrails, grounding, human handoff, and monitoring.
- Knowledge of Salesforce Einstein and AI-enabled CRM capabilities, with understanding of Salesforce Data Cloud as an AI data foundation.
- Experience with AI/ML governance frameworks, responsible AI principles, model/use-case risk assessment, bias monitoring, and AI audit practices.
- Knowledge of data privacy regulations and compliance considerations, including GDPR, CCPA, industry-specific requirements, and enterprise security controls.
- Understanding of LLM capabilities, limitations, hallucination risk, prompt engineering concepts, retrieval/grounding patterns, and safe automation design.
- Experience influencing and educating cross-functional stakeholders across business, delivery, data, security, legal, compliance, and architecture teams.
- Experience with risk assessment and mitigation planning, with the judgment to distinguish acceptable experimentation from unacceptable enterprise risk.
- Ability to clearly communicate AI concepts, controls, and trade-offs to non-technical leaders and delivery teams.
- Experience applying a pragmatic governance approach that accelerates responsible innovation rather than creating unnecessary friction.
- Curiosity, regulatory awareness, and disciplined learning in a rapidly evolving AI technology landscape.
- Salesforce Agentforce certification.
- Certification in Salesforce AI Associate, Salesforce Administrator, Data Cloud, or responsible AI/AI ethics.
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# Lead Engineer Salesforce AI Agentforce
[
## Emerson Electric (Asia) Limited
](/id-ID/c/emerson-electric-asia-limited/jobs?source=Logged%20Out%20Job%20Details%20Page&action=Company%20Name&filter=)
* Mandaluyong, Philippines
39th to 44th floor Mega Tower, Mandaluyong, Metro Manila, Philippines
Mandaluyong
Metro Manila
Philippines
Philippines
* [Penuh waktu](/id-ID/home/t/full-time)FULL\_TIME
* [Top 50](/id-ID/home/top50/y)[Hibrida](/id-ID/home/hybrid/y)
Lowongan dipasang a day ago dan batas waktu lamaran adalah 15 Dec
Rekruter terakhir aktif a day ago
2026-10-28T01:01:32.078424+00:002026-12-15T16:00:00+00:00
[Top 50](/id-ID/home/top50/y)[Hibrida](/id-ID/home/hybrid/y)
Lamar Sekarang
Simpan Bagikan
## Deskripsi Pekerjaan
Define, document, and enforce Emerson AI governance policies, ethical guidelines, compliance expectations, and approval standards for Salesforce AI capabilities, including Agentforce and Einstein.
Review proposed AI toolsets and agent use cases across business functions for regulatory, ethical, privacy, security, and business-process readiness.
Establish practical guardrails for agent design, topic configuration, actions, data grounding, escalation, auditability, and human oversight.
Track evolving AI regulations, Salesforce trust guidance, and corporate policies, translating requirements into usable governance practices for delivery teams.
Create AI risk assessment templates, model/use-case review checkpoints, exception processes, and remediation procedures for Salesforce AI deployments.
Advise workstream teams on Agentforce design patterns, agent topics, actions, instructions, prompt quality, hallucination prevention, and safe handoff to human users.
Enable responsible AI innovation by helping teams move from concept to governed pilots, production readiness, and measurable business outcomes.
Partner with Data Cloud, Data Stewardship, and Integration teams to ensure agent grounding data is accurate, permission-aware, compliant, and fit for intended use.
Develop reusable Agentforce patterns, documentation, training materials, and playbooks to accelerate consistent adoption across Business Groups and World Areas.
Audit AI agent usage, performance, quality, compliance, bias risk, and outcome measures, coordinating remediation actions when issues are identified.
Define AI trust and safety metrics, adoption metrics, value measures, and executive reporting for Salesforce AI capabilities.
Partner with Security, Legal, Compliance, Architecture, and Data teams to ensure AI controls align with Emerson enterprise policies and risk posture.
Support post-deployment reviews, incident learnings, and continuous improvement of AI governance standards and agent operating models.
## Kualifikasi Minimum
Knowledge of Salesforce Agentforce concepts, including agent design, topics, actions, instructions, guardrails, grounding, human handoff, and monitoring.
Knowledge of Salesforce Einstein and AI-enabled CRM capabilities, with understanding of Salesforce Data Cloud as an AI data foundation.
Experience with AI/ML governance frameworks, responsible AI principles, model/use-case risk assessment, bias monitoring, and AI audit practices.
Knowledge of data privacy regulations and compliance considerations, including GDPR, CCPA, industry-specific requirements, and enterprise security controls.
Understanding of LLM capabilities, limitations, hallucination risk, prompt engineering concepts, retrieval/grounding patterns, and safe automation design.
Experience influencing and educating cross-functional stakeholders across business, delivery, data, security, legal, compliance, and architecture teams.
Experience with risk assessment and mitigation planning, with the judgment to distinguish acceptable experimentation from unacceptable enterprise risk.
Ability to clearly communicate AI concepts, controls, and trade-offs to non-technical leaders and delivery teams.
Experience applying a pragmatic governance approach that accelerates responsible innovation rather than creating unnecessary friction.
Curiosity, regulatory awareness, and disciplined learning in a rapidly evolving AI technology landscape.
Salesforce Agentforce certification.
Certification in Salesforce AI Associate, Salesforce Administrator, Data Cloud, or responsible AI/AI ethics.
## Ringkasan Perkerjaan
Tingkat Posisi
[Mid-Senior Level Manager](/id-ID/home/w/400-mid-senior-level-or-manager)
Spesialisasi
[IT and Software](/id-ID/home/i/it-and-software)
Persyaratan tingkat pendidikan
[Lulus program Sarjana (S1)](/id-ID/home/e/550-bachelor's-degree-graduate)
Alamat Kantor
Doña Julia Vargas Ave & EDSA, 1555 Mandaluyong, Philippines
Industri
Electrical / Electronic Manufacturing
Lowongan
1 lowongan dibuka
Situs
[http://www.emerson.com](http://www.emerson.com)
Agar merasa aman saat melamar: carilah ikon verifikasi dan selalu lakukan riset terhadap Perusahaan yang Anda lamar. Hindari dan laporkan situasi dimana Perusahaan membutuhkan bayaran dalam proses rekrutmen mereka.
Laporkan lowongan pekerjaan ini
## Tentang Emerson Electric (Asia) Limited
Emerson is a global leader in automation technology and software. We help customers in critical industries, like energy, chemicals, power and renewables, life sciences, and factory automation, operate more sustainably while improving productivity, energy security, and reliability. At Emerson, you'll join a talented, dedicated team of motivated professionals who share a collective passion for progress and excellence. We offer equitable opportunities, celebrate diversity, and confidently embrace challenges to make a global impact. Put your passion into action. Find a career path that matches your aspirations, and we'll provide the tools and resources to help you every step of the way.
Lamar Sekarang
## Kandidat juga melamar untuk
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## [Lead Data Engineer](/id-ID/c/ncs-philippines/jobs/267903/lead-data-engineer)
NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. General Responsibilities: The Lead Data Engineer is responsible for designing, developing, and optimizing data infrastructure to ensure reliable pipelines, scalable architecture, and high-quality data for analytics and business needs. The role includes leading a team of data engineers, collaborating with cross-functional stakeholders, and implementing best practices in data transformation, validation, governance, and cloud-based solutions. Duties & Responsibilities: Lead and mentor a team of data engineers, fostering collaboration, innovation, and continuous improvement. Define and enforce data engineering standards, coding practices, and architectural guidelines. Partner with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions. Design and maintain high-performance ETL/ELT pipelines and workflows. Build and optimize data lake, data warehouse, and streaming data solutions. Ensure systems support structured, semi-structured, and unstructured data sources. Develop data transformation and preparation processes to deliver clean, reliable, analytics-ready datasets. Implement validation, anomaly detection, and automated quality checks to ensure accuracy and consistency. Define and execute data remediation strategies to resolve issues with minimal business disruption. Implement and manage cloud-based data platforms (AWS, Azure, or GCP). Apply modern frameworks (e.g., Spark, Kafka, Airflow, DBT) for efficient data processing. Oversee data modeling, schema design, and database optimization (SQL/NoSQL). Ensure accuracy, consistency, and availability of data across platforms. Implement governance, lineage, validation frameworks, and security best practices. Monitor, troubleshoot, and optimize pipelines to meet SLAs and performance benchmarks. Stay current with emerging data engineering and analytics technologies. Recommend improvements to systems, tools, and processes to enhance scalability, reliability, and quality. Other job-related activities that may be assigned from time to time
[NCS Philippines Inc.](/id-ID/c/ncs-philippines/jobs)
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Posted 5 months ago • Apply before 30 DecRekruter terakhir aktif 20 hours ago
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## [Senior Systems & AI Solutions Engineer | Makati](/id-ID/c/medgrocer/jobs/271947/senior-systems-ai-solutions-engineer-makati)
MedGrocer’s digitally-enabled corporate healthcare solutions empower our customers to get their medicines, vaccines, and teleconsultations conveniently, cost-effectively, and intelligently. The Senior Systems & AI Solutions Engineer is responsible for the high-level architecture, systems resilience, and evaluation and integration of technologies—including AI and automation—that ensure our platform is within standard of patient care. Why Join MedGrocer? You will have autonomy to design and scale core architectures that provide interventions for over one million Filipinos every year. You will spearhead the integration of applied AI workflows, modernizing developer tools and engineering practices across the entire organization. Key Responsibilities Architect, build, and deploy production-ready applied AI systems, including retrieval-augmented generation (RAG) pipelines, automated document processing, and operational triage workflows. Audit and refactor critical backend services and legacy bottlenecks to reduce latency, eliminate single points of failure, and ensure high system availability. Champion AI-assisted engineering practices across the team, integrating modern AI tooling to accelerate development throughput and catch regressions early. Oversee software development lifecycles (SDLC) by establishing automated CI/CD pipelines, integration testing suites, and high standards for peer code reviews. Govern cybersecurity and data privacy standards to safeguard sensitive patient records and ensure compliance with healthcare information frameworks. Perks and Benefits Performance Incentives & Career Progression: Recognition through clear pathways for advancement, promotion opportunities, and performance-based bonuses. Growth & Impact: A clear path for professional development and the opportunity to make a tangible impact on patient health. Cross-Functional Learning: Opportunities to collaborate across different teams, expanding your skill set and broadening your understanding of the business. Health & Wellness Coverage: HMO benefits to ensure your peace of mind, paired with free medical consultations and unlimited essential medicines. Paid Time Off: Paid leaves to rest, recharge, and attend to personal priorities. Application Process Our application process typically takes one to three weeks, depending on your availability and progress: Step 1: Submit your application form and complete the online assessment within seven days. Afterwards, results are shared in one to three business days. Step 2: Qualified candidates attend a full-day onsite evaluation. Progression depends on performance at each stage. HR will notify you if your evaluation concludes early. Please arrive at the venue between 8:00 AM and 9:00 AM. The detailed schedule is as follows: Initial Assessment 8:00 AM - 10:00 AM: Onsite Assessment Supplementary Assessment (as needed) 10:00 AM – 12:00 PM: HR Panel Interview 12:00 PM – 1:00 PM: Lunch Break 1:00 PM – 4:00 PM: One-on-One Interviews 4:00 PM – 5:30 PM: CEO Forum Step 3: Final review and background checks occur within three business days. Additional interviews may be requested. Step 4: Receive final results within five to seven business days.
[MedGrocer](/id-ID/c/medgrocer/jobs)
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The Solution Architect is an individual contributor wi
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